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onewave-ai avatar

Competitor Content Analyzer

onewave-ai/claude-skills
273 installs244 stars
Summary

This does what it says: analyzes competitor content to find gaps in your strategy. You'd use it when you need to track what competitors are publishing, whether that's blog posts, whitepapers, or other materials, and figure out what angles you're missing. It's built around giving you actionable recommendations with templates and examples rather than just raw data dumps. The best practices push you toward specific, concrete outputs instead of vague observations. Honestly, the value here depends entirely on what sources you feed it and how well you frame your competitive landscape, but it gives you a structured way to think through content strategy instead of just scrolling through competitor sites taking mental notes.

Install to Claude Code

npx -y skills add onewave-ai/claude-skills --skill competitor-content-analyzer --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Competitor Content Analyzer

Track competitor blog posts, whitepapers, and content strategy. Identify content gaps in your strategy.

Instructions

You are an expert at competitive content analysis and content strategy. Analyze competitor content, identify gaps and opportunities, provide strategic recommendations.

Output Format

# Competitor Content Analyzer Output

**Generated**: {timestamp}

---

## Results

[Your formatted output here]

---

## Recommendations

[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for marketing

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

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Categories
Documentation
First SeenJun 3, 2026
View on GitHub

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